/usr/local/lib/python3.7/dist-packages/mmdet/core/anchor/builder.py:17: UserWarning: ``build_anchor_generator`` would be deprecated soon, please use ``build_prior_generator``
'``build_anchor_generator`` would be deprecated soon, please use '
2022-08-07 16:50:58,618 - mmcv - INFO - initialize ResNet with init_cfg {'type': 'Pretrained', 'checkpoint': 'torchvision://resnet50'}
2022-08-07 16:50:58,620 - mmcv - INFO - load model from: torchvision://resnet50
2022-08-07 16:50:58,621 - mmcv - INFO - load checkpoint from torchvision path: torchvision://resnet50
2022-08-07 16:50:58,731 - mmcv - WARNING - The model and loaded state dict do not match exactly
unexpected key in source state_dict: fc.weight, fc.bias
2022-08-07 16:50:58,763 - mmcv - INFO - initialize FPN with init_cfg {'type': 'Xavier', 'layer': 'Conv2d', 'distribution': 'uniform'}
2022-08-07 16:50:58,795 - mmcv - INFO - initialize VFNetHead with init_cfg {'type': 'Normal', 'layer': 'Conv2d', 'std': 0.01, 'override': {'type': 'Normal', 'name': 'vfnet_cls', 'std': 0.01, 'bias_prob': 0.01}}
2022-08-07 16:50:58,833 - mmcv - INFO -
backbone.conv1.weight - torch.Size([64, 3, 7, 7]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:58,835 - mmcv - INFO -
backbone.bn1.weight - torch.Size([64]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:58,839 - mmcv - INFO -
backbone.bn1.bias - torch.Size([64]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:58,842 - mmcv - INFO -
backbone.layer1.0.conv1.weight - torch.Size([64, 64, 1, 1]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:58,844 - mmcv - INFO -
backbone.layer1.0.bn1.weight - torch.Size([64]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:58,847 - mmcv - INFO -
backbone.layer1.0.bn1.bias - torch.Size([64]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:58,850 - mmcv - INFO -
backbone.layer1.0.conv2.weight - torch.Size([64, 64, 3, 3]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:58,852 - mmcv - INFO -
backbone.layer1.0.bn2.weight - torch.Size([64]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:58,855 - mmcv - INFO -
backbone.layer1.0.bn2.bias - torch.Size([64]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:58,858 - mmcv - INFO -
backbone.layer1.0.conv3.weight - torch.Size([256, 64, 1, 1]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:58,860 - mmcv - INFO -
backbone.layer1.0.bn3.weight - torch.Size([256]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:58,863 - mmcv - INFO -
backbone.layer1.0.bn3.bias - torch.Size([256]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:58,866 - mmcv - INFO -
backbone.layer1.0.downsample.0.weight - torch.Size([256, 64, 1, 1]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:58,868 - mmcv - INFO -
backbone.layer1.0.downsample.1.weight - torch.Size([256]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:58,871 - mmcv - INFO -
backbone.layer1.0.downsample.1.bias - torch.Size([256]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:58,874 - mmcv - INFO -
backbone.layer1.1.conv1.weight - torch.Size([64, 256, 1, 1]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:58,877 - mmcv - INFO -
backbone.layer1.1.bn1.weight - torch.Size([64]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:58,879 - mmcv - INFO -
backbone.layer1.1.bn1.bias - torch.Size([64]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:58,883 - mmcv - INFO -
backbone.layer1.1.conv2.weight - torch.Size([64, 64, 3, 3]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:58,886 - mmcv - INFO -
backbone.layer1.1.bn2.weight - torch.Size([64]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:58,888 - mmcv - INFO -
backbone.layer1.1.bn2.bias - torch.Size([64]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:58,890 - mmcv - INFO -
backbone.layer1.1.conv3.weight - torch.Size([256, 64, 1, 1]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:58,892 - mmcv - INFO -
backbone.layer1.1.bn3.weight - torch.Size([256]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:58,894 - mmcv - INFO -
backbone.layer1.1.bn3.bias - torch.Size([256]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:58,896 - mmcv - INFO -
backbone.layer1.2.conv1.weight - torch.Size([64, 256, 1, 1]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:58,898 - mmcv - INFO -
backbone.layer1.2.bn1.weight - torch.Size([64]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:58,901 - mmcv - INFO -
backbone.layer1.2.bn1.bias - torch.Size([64]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:58,902 - mmcv - INFO -
backbone.layer1.2.conv2.weight - torch.Size([64, 64, 3, 3]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:58,904 - mmcv - INFO -
backbone.layer1.2.bn2.weight - torch.Size([64]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:58,905 - mmcv - INFO -
backbone.layer1.2.bn2.bias - torch.Size([64]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:58,907 - mmcv - INFO -
backbone.layer1.2.conv3.weight - torch.Size([256, 64, 1, 1]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:58,908 - mmcv - INFO -
backbone.layer1.2.bn3.weight - torch.Size([256]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:58,909 - mmcv - INFO -
backbone.layer1.2.bn3.bias - torch.Size([256]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:58,911 - mmcv - INFO -
backbone.layer2.0.conv1.weight - torch.Size([128, 256, 1, 1]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:58,912 - mmcv - INFO -
backbone.layer2.0.bn1.weight - torch.Size([128]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:58,914 - mmcv - INFO -
backbone.layer2.0.bn1.bias - torch.Size([128]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:58,916 - mmcv - INFO -
backbone.layer2.0.conv2.weight - torch.Size([128, 128, 3, 3]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:58,918 - mmcv - INFO -
backbone.layer2.0.bn2.weight - torch.Size([128]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:58,920 - mmcv - INFO -
backbone.layer2.0.bn2.bias - torch.Size([128]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:58,922 - mmcv - INFO -
backbone.layer2.0.conv3.weight - torch.Size([512, 128, 1, 1]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:58,923 - mmcv - INFO -
backbone.layer2.0.bn3.weight - torch.Size([512]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:58,926 - mmcv - INFO -
backbone.layer2.0.bn3.bias - torch.Size([512]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:58,927 - mmcv - INFO -
backbone.layer2.0.downsample.0.weight - torch.Size([512, 256, 1, 1]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:58,930 - mmcv - INFO -
backbone.layer2.0.downsample.1.weight - torch.Size([512]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:58,932 - mmcv - INFO -
backbone.layer2.0.downsample.1.bias - torch.Size([512]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:58,934 - mmcv - INFO -
backbone.layer2.1.conv1.weight - torch.Size([128, 512, 1, 1]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:58,936 - mmcv - INFO -
backbone.layer2.1.bn1.weight - torch.Size([128]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:58,938 - mmcv - INFO -
backbone.layer2.1.bn1.bias - torch.Size([128]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:58,940 - mmcv - INFO -
backbone.layer2.1.conv2.weight - torch.Size([128, 128, 3, 3]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:58,942 - mmcv - INFO -
backbone.layer2.1.bn2.weight - torch.Size([128]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:58,944 - mmcv - INFO -
backbone.layer2.1.bn2.bias - torch.Size([128]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:58,946 - mmcv - INFO -
backbone.layer2.1.conv3.weight - torch.Size([512, 128, 1, 1]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:58,948 - mmcv - INFO -
backbone.layer2.1.bn3.weight - torch.Size([512]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:58,950 - mmcv - INFO -
backbone.layer2.1.bn3.bias - torch.Size([512]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:58,951 - mmcv - INFO -
backbone.layer2.2.conv1.weight - torch.Size([128, 512, 1, 1]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:58,953 - mmcv - INFO -
backbone.layer2.2.bn1.weight - torch.Size([128]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:58,955 - mmcv - INFO -
backbone.layer2.2.bn1.bias - torch.Size([128]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:58,957 - mmcv - INFO -
backbone.layer2.2.conv2.weight - torch.Size([128, 128, 3, 3]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:58,958 - mmcv - INFO -
backbone.layer2.2.bn2.weight - torch.Size([128]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:58,960 - mmcv - INFO -
backbone.layer2.2.bn2.bias - torch.Size([128]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:58,961 - mmcv - INFO -
backbone.layer2.2.conv3.weight - torch.Size([512, 128, 1, 1]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:58,962 - mmcv - INFO -
backbone.layer2.2.bn3.weight - torch.Size([512]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:58,964 - mmcv - INFO -
backbone.layer2.2.bn3.bias - torch.Size([512]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:58,965 - mmcv - INFO -
backbone.layer2.3.conv1.weight - torch.Size([128, 512, 1, 1]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:58,967 - mmcv - INFO -
backbone.layer2.3.bn1.weight - torch.Size([128]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:58,968 - mmcv - INFO -
backbone.layer2.3.bn1.bias - torch.Size([128]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:58,969 - mmcv - INFO -
backbone.layer2.3.conv2.weight - torch.Size([128, 128, 3, 3]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:58,971 - mmcv - INFO -
backbone.layer2.3.bn2.weight - torch.Size([128]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:58,972 - mmcv - INFO -
backbone.layer2.3.bn2.bias - torch.Size([128]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:58,974 - mmcv - INFO -
backbone.layer2.3.conv3.weight - torch.Size([512, 128, 1, 1]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:58,976 - mmcv - INFO -
backbone.layer2.3.bn3.weight - torch.Size([512]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:58,977 - mmcv - INFO -
backbone.layer2.3.bn3.bias - torch.Size([512]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:58,978 - mmcv - INFO -
backbone.layer3.0.conv1.weight - torch.Size([256, 512, 1, 1]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:58,979 - mmcv - INFO -
backbone.layer3.0.bn1.weight - torch.Size([256]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:58,980 - mmcv - INFO -
backbone.layer3.0.bn1.bias - torch.Size([256]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:58,982 - mmcv - INFO -
backbone.layer3.0.conv2.weight - torch.Size([256, 256, 3, 3]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:58,983 - mmcv - INFO -
backbone.layer3.0.bn2.weight - torch.Size([256]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:58,985 - mmcv - INFO -
backbone.layer3.0.bn2.bias - torch.Size([256]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:58,988 - mmcv - INFO -
backbone.layer3.0.conv3.weight - torch.Size([1024, 256, 1, 1]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:58,989 - mmcv - INFO -
backbone.layer3.0.bn3.weight - torch.Size([1024]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:58,991 - mmcv - INFO -
backbone.layer3.0.bn3.bias - torch.Size([1024]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:58,992 - mmcv - INFO -
backbone.layer3.0.downsample.0.weight - torch.Size([1024, 512, 1, 1]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:58,994 - mmcv - INFO -
backbone.layer3.0.downsample.1.weight - torch.Size([1024]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:58,995 - mmcv - INFO -
backbone.layer3.0.downsample.1.bias - torch.Size([1024]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:58,997 - mmcv - INFO -
backbone.layer3.1.conv1.weight - torch.Size([256, 1024, 1, 1]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:58,998 - mmcv - INFO -
backbone.layer3.1.bn1.weight - torch.Size([256]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:59,000 - mmcv - INFO -
backbone.layer3.1.bn1.bias - torch.Size([256]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:59,001 - mmcv - INFO -
backbone.layer3.1.conv2.weight - torch.Size([256, 256, 3, 3]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:59,003 - mmcv - INFO -
backbone.layer3.1.bn2.weight - torch.Size([256]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:59,004 - mmcv - INFO -
backbone.layer3.1.bn2.bias - torch.Size([256]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:59,006 - mmcv - INFO -
backbone.layer3.1.conv3.weight - torch.Size([1024, 256, 1, 1]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:59,007 - mmcv - INFO -
backbone.layer3.1.bn3.weight - torch.Size([1024]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:59,009 - mmcv - INFO -
backbone.layer3.1.bn3.bias - torch.Size([1024]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:59,010 - mmcv - INFO -
backbone.layer3.2.conv1.weight - torch.Size([256, 1024, 1, 1]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:59,012 - mmcv - INFO -
backbone.layer3.2.bn1.weight - torch.Size([256]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:59,013 - mmcv - INFO -
backbone.layer3.2.bn1.bias - torch.Size([256]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:59,015 - mmcv - INFO -
backbone.layer3.2.conv2.weight - torch.Size([256, 256, 3, 3]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:59,016 - mmcv - INFO -
backbone.layer3.2.bn2.weight - torch.Size([256]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:59,018 - mmcv - INFO -
backbone.layer3.2.bn2.bias - torch.Size([256]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:59,019 - mmcv - INFO -
backbone.layer3.2.conv3.weight - torch.Size([1024, 256, 1, 1]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:59,021 - mmcv - INFO -
backbone.layer3.2.bn3.weight - torch.Size([1024]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:59,022 - mmcv - INFO -
backbone.layer3.2.bn3.bias - torch.Size([1024]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:59,024 - mmcv - INFO -
backbone.layer3.3.conv1.weight - torch.Size([256, 1024, 1, 1]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:59,026 - mmcv - INFO -
backbone.layer3.3.bn1.weight - torch.Size([256]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:59,027 - mmcv - INFO -
backbone.layer3.3.bn1.bias - torch.Size([256]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:59,029 - mmcv - INFO -
backbone.layer3.3.conv2.weight - torch.Size([256, 256, 3, 3]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:59,030 - mmcv - INFO -
backbone.layer3.3.bn2.weight - torch.Size([256]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:59,032 - mmcv - INFO -
backbone.layer3.3.bn2.bias - torch.Size([256]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:59,033 - mmcv - INFO -
backbone.layer3.3.conv3.weight - torch.Size([1024, 256, 1, 1]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:59,035 - mmcv - INFO -
backbone.layer3.3.bn3.weight - torch.Size([1024]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:59,036 - mmcv - INFO -
backbone.layer3.3.bn3.bias - torch.Size([1024]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:59,038 - mmcv - INFO -
backbone.layer3.4.conv1.weight - torch.Size([256, 1024, 1, 1]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:59,039 - mmcv - INFO -
backbone.layer3.4.bn1.weight - torch.Size([256]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:59,041 - mmcv - INFO -
backbone.layer3.4.bn1.bias - torch.Size([256]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:59,042 - mmcv - INFO -
backbone.layer3.4.conv2.weight - torch.Size([256, 256, 3, 3]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:59,044 - mmcv - INFO -
backbone.layer3.4.bn2.weight - torch.Size([256]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:59,045 - mmcv - INFO -
backbone.layer3.4.bn2.bias - torch.Size([256]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:59,047 - mmcv - INFO -
backbone.layer3.4.conv3.weight - torch.Size([1024, 256, 1, 1]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:59,048 - mmcv - INFO -
backbone.layer3.4.bn3.weight - torch.Size([1024]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:59,050 - mmcv - INFO -
backbone.layer3.4.bn3.bias - torch.Size([1024]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:59,051 - mmcv - INFO -
backbone.layer3.5.conv1.weight - torch.Size([256, 1024, 1, 1]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:59,053 - mmcv - INFO -
backbone.layer3.5.bn1.weight - torch.Size([256]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:59,055 - mmcv - INFO -
backbone.layer3.5.bn1.bias - torch.Size([256]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:59,056 - mmcv - INFO -
backbone.layer3.5.conv2.weight - torch.Size([256, 256, 3, 3]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:59,058 - mmcv - INFO -
backbone.layer3.5.bn2.weight - torch.Size([256]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:59,059 - mmcv - INFO -
backbone.layer3.5.bn2.bias - torch.Size([256]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:59,061 - mmcv - INFO -
backbone.layer3.5.conv3.weight - torch.Size([1024, 256, 1, 1]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:59,062 - mmcv - INFO -
backbone.layer3.5.bn3.weight - torch.Size([1024]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:59,064 - mmcv - INFO -
backbone.layer3.5.bn3.bias - torch.Size([1024]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:59,065 - mmcv - INFO -
backbone.layer4.0.conv1.weight - torch.Size([512, 1024, 1, 1]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:59,067 - mmcv - INFO -
backbone.layer4.0.bn1.weight - torch.Size([512]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:59,068 - mmcv - INFO -
backbone.layer4.0.bn1.bias - torch.Size([512]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:59,070 - mmcv - INFO -
backbone.layer4.0.conv2.weight - torch.Size([512, 512, 3, 3]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:59,071 - mmcv - INFO -
backbone.layer4.0.bn2.weight - torch.Size([512]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:59,073 - mmcv - INFO -
backbone.layer4.0.bn2.bias - torch.Size([512]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:59,074 - mmcv - INFO -
backbone.layer4.0.conv3.weight - torch.Size([2048, 512, 1, 1]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:59,076 - mmcv - INFO -
backbone.layer4.0.bn3.weight - torch.Size([2048]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:59,077 - mmcv - INFO -
backbone.layer4.0.bn3.bias - torch.Size([2048]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:59,079 - mmcv - INFO -
backbone.layer4.0.downsample.0.weight - torch.Size([2048, 1024, 1, 1]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:59,080 - mmcv - INFO -
backbone.layer4.0.downsample.1.weight - torch.Size([2048]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:59,082 - mmcv - INFO -
backbone.layer4.0.downsample.1.bias - torch.Size([2048]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:59,083 - mmcv - INFO -
backbone.layer4.1.conv1.weight - torch.Size([512, 2048, 1, 1]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:59,085 - mmcv - INFO -
backbone.layer4.1.bn1.weight - torch.Size([512]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:59,086 - mmcv - INFO -
backbone.layer4.1.bn1.bias - torch.Size([512]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:59,088 - mmcv - INFO -
backbone.layer4.1.conv2.weight - torch.Size([512, 512, 3, 3]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:59,089 - mmcv - INFO -
backbone.layer4.1.bn2.weight - torch.Size([512]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:59,091 - mmcv - INFO -
backbone.layer4.1.bn2.bias - torch.Size([512]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:59,093 - mmcv - INFO -
backbone.layer4.1.conv3.weight - torch.Size([2048, 512, 1, 1]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:59,094 - mmcv - INFO -
backbone.layer4.1.bn3.weight - torch.Size([2048]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:59,096 - mmcv - INFO -
backbone.layer4.1.bn3.bias - torch.Size([2048]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:59,097 - mmcv - INFO -
backbone.layer4.2.conv1.weight - torch.Size([512, 2048, 1, 1]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:59,099 - mmcv - INFO -
backbone.layer4.2.bn1.weight - torch.Size([512]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:59,100 - mmcv - INFO -
backbone.layer4.2.bn1.bias - torch.Size([512]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:59,102 - mmcv - INFO -
backbone.layer4.2.conv2.weight - torch.Size([512, 512, 3, 3]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:59,103 - mmcv - INFO -
backbone.layer4.2.bn2.weight - torch.Size([512]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:59,105 - mmcv - INFO -
backbone.layer4.2.bn2.bias - torch.Size([512]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:59,106 - mmcv - INFO -
backbone.layer4.2.conv3.weight - torch.Size([2048, 512, 1, 1]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:59,108 - mmcv - INFO -
backbone.layer4.2.bn3.weight - torch.Size([2048]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:59,110 - mmcv - INFO -
backbone.layer4.2.bn3.bias - torch.Size([2048]):
PretrainedInit: load from torchvision://resnet50
2022-08-07 16:50:59,112 - mmcv - INFO -
neck.lateral_convs.0.conv.weight - torch.Size([256, 512, 1, 1]):
XavierInit: gain=1, distribution=uniform, bias=0
2022-08-07 16:50:59,113 - mmcv - INFO -
neck.lateral_convs.0.conv.bias - torch.Size([256]):
The value is the same before and after calling `init_weights` of VFNet
2022-08-07 16:50:59,115 - mmcv - INFO -
neck.lateral_convs.1.conv.weight - torch.Size([256, 1024, 1, 1]):
XavierInit: gain=1, distribution=uniform, bias=0
2022-08-07 16:50:59,116 - mmcv - INFO -
neck.lateral_convs.1.conv.bias - torch.Size([256]):
The value is the same before and after calling `init_weights` of VFNet
2022-08-07 16:50:59,118 - mmcv - INFO -
neck.lateral_convs.2.conv.weight - torch.Size([256, 2048, 1, 1]):
XavierInit: gain=1, distribution=uniform, bias=0
2022-08-07 16:50:59,120 - mmcv - INFO -
neck.lateral_convs.2.conv.bias - torch.Size([256]):
The value is the same before and after calling `init_weights` of VFNet
2022-08-07 16:50:59,121 - mmcv - INFO -
neck.fpn_convs.0.conv.weight - torch.Size([256, 256, 3, 3]):
XavierInit: gain=1, distribution=uniform, bias=0
2022-08-07 16:50:59,123 - mmcv - INFO -
neck.fpn_convs.0.conv.bias - torch.Size([256]):
The value is the same before and after calling `init_weights` of VFNet
2022-08-07 16:50:59,124 - mmcv - INFO -
neck.fpn_convs.1.conv.weight - torch.Size([256, 256, 3, 3]):
XavierInit: gain=1, distribution=uniform, bias=0
2022-08-07 16:50:59,126 - mmcv - INFO -
neck.fpn_convs.1.conv.bias - torch.Size([256]):
The value is the same before and after calling `init_weights` of VFNet
2022-08-07 16:50:59,127 - mmcv - INFO -
neck.fpn_convs.2.conv.weight - torch.Size([256, 256, 3, 3]):
XavierInit: gain=1, distribution=uniform, bias=0
2022-08-07 16:50:59,129 - mmcv - INFO -
neck.fpn_convs.2.conv.bias - torch.Size([256]):
The value is the same before and after calling `init_weights` of VFNet
2022-08-07 16:50:59,130 - mmcv - INFO -
neck.fpn_convs.3.conv.weight - torch.Size([256, 256, 3, 3]):
XavierInit: gain=1, distribution=uniform, bias=0
2022-08-07 16:50:59,132 - mmcv - INFO -
neck.fpn_convs.3.conv.bias - torch.Size([256]):
The value is the same before and after calling `init_weights` of VFNet
2022-08-07 16:50:59,133 - mmcv - INFO -
neck.fpn_convs.4.conv.weight - torch.Size([256, 256, 3, 3]):
XavierInit: gain=1, distribution=uniform, bias=0
2022-08-07 16:50:59,135 - mmcv - INFO -
neck.fpn_convs.4.conv.bias - torch.Size([256]):
The value is the same before and after calling `init_weights` of VFNet
2022-08-07 16:50:59,136 - mmcv - INFO -
bbox_head.cls_convs.0.conv.weight - torch.Size([256, 256, 3, 3]):
NormalInit: mean=0, std=0.01, bias=0
2022-08-07 16:50:59,138 - mmcv - INFO -
bbox_head.cls_convs.0.gn.weight - torch.Size([256]):
The value is the same before and after calling `init_weights` of VFNet
2022-08-07 16:50:59,140 - mmcv - INFO -
bbox_head.cls_convs.0.gn.bias - torch.Size([256]):
The value is the same before and after calling `init_weights` of VFNet
2022-08-07 16:50:59,141 - mmcv - INFO -
bbox_head.cls_convs.1.conv.weight - torch.Size([256, 256, 3, 3]):
NormalInit: mean=0, std=0.01, bias=0
2022-08-07 16:50:59,143 - mmcv - INFO -
bbox_head.cls_convs.1.gn.weight - torch.Size([256]):
The value is the same before and after calling `init_weights` of VFNet
2022-08-07 16:50:59,144 - mmcv - INFO -
bbox_head.cls_convs.1.gn.bias - torch.Size([256]):
The value is the same before and after calling `init_weights` of VFNet
2022-08-07 16:50:59,146 - mmcv - INFO -
bbox_head.cls_convs.2.conv.weight - torch.Size([256, 256, 3, 3]):
NormalInit: mean=0, std=0.01, bias=0
2022-08-07 16:50:59,147 - mmcv - INFO -
bbox_head.cls_convs.2.gn.weight - torch.Size([256]):
The value is the same before and after calling `init_weights` of VFNet
2022-08-07 16:50:59,149 - mmcv - INFO -
bbox_head.cls_convs.2.gn.bias - torch.Size([256]):
The value is the same before and after calling `init_weights` of VFNet
2022-08-07 16:50:59,150 - mmcv - INFO -
bbox_head.reg_convs.0.conv.weight - torch.Size([256, 256, 3, 3]):
NormalInit: mean=0, std=0.01, bias=0
2022-08-07 16:50:59,152 - mmcv - INFO -
bbox_head.reg_convs.0.gn.weight - torch.Size([256]):
The value is the same before and after calling `init_weights` of VFNet
2022-08-07 16:50:59,153 - mmcv - INFO -
bbox_head.reg_convs.0.gn.bias - torch.Size([256]):
The value is the same before and after calling `init_weights` of VFNet
2022-08-07 16:50:59,155 - mmcv - INFO -
bbox_head.reg_convs.1.conv.weight - torch.Size([256, 256, 3, 3]):
NormalInit: mean=0, std=0.01, bias=0
2022-08-07 16:50:59,156 - mmcv - INFO -
bbox_head.reg_convs.1.gn.weight - torch.Size([256]):
The value is the same before and after calling `init_weights` of VFNet
2022-08-07 16:50:59,158 - mmcv - INFO -
bbox_head.reg_convs.1.gn.bias - torch.Size([256]):
The value is the same before and after calling `init_weights` of VFNet
2022-08-07 16:50:59,159 - mmcv - INFO -
bbox_head.reg_convs.2.conv.weight - torch.Size([256, 256, 3, 3]):
NormalInit: mean=0, std=0.01, bias=0
2022-08-07 16:50:59,161 - mmcv - INFO -
bbox_head.reg_convs.2.gn.weight - torch.Size([256]):
The value is the same before and after calling `init_weights` of VFNet
2022-08-07 16:50:59,162 - mmcv - INFO -
bbox_head.reg_convs.2.gn.bias - torch.Size([256]):
The value is the same before and after calling `init_weights` of VFNet
2022-08-07 16:50:59,164 - mmcv - INFO -
bbox_head.vfnet_reg_conv.conv.weight - torch.Size([256, 256, 3, 3]):
Initialized by user-defined `init_weights` in ConvModule
2022-08-07 16:50:59,166 - mmcv - INFO -
bbox_head.vfnet_reg_conv.gn.weight - torch.Size([256]):
The value is the same before and after calling `init_weights` of VFNet
2022-08-07 16:50:59,167 - mmcv - INFO -
bbox_head.vfnet_reg_conv.gn.bias - torch.Size([256]):
The value is the same before and after calling `init_weights` of VFNet
2022-08-07 16:50:59,169 - mmcv - INFO -
bbox_head.vfnet_reg.weight - torch.Size([4, 256, 3, 3]):
NormalInit: mean=0, std=0.01, bias=0
2022-08-07 16:50:59,170 - mmcv - INFO -
bbox_head.vfnet_reg.bias - torch.Size([4]):
NormalInit: mean=0, std=0.01, bias=0
2022-08-07 16:50:59,172 - mmcv - INFO -
bbox_head.scales.0.scale - torch.Size([]):
The value is the same before and after calling `init_weights` of VFNet
2022-08-07 16:50:59,173 - mmcv - INFO -
bbox_head.scales.1.scale - torch.Size([]):
The value is the same before and after calling `init_weights` of VFNet
2022-08-07 16:50:59,175 - mmcv - INFO -
bbox_head.scales.2.scale - torch.Size([]):
The value is the same before and after calling `init_weights` of VFNet
2022-08-07 16:50:59,176 - mmcv - INFO -
bbox_head.scales.3.scale - torch.Size([]):
The value is the same before and after calling `init_weights` of VFNet
2022-08-07 16:50:59,178 - mmcv - INFO -
bbox_head.scales.4.scale - torch.Size([]):
The value is the same before and after calling `init_weights` of VFNet
2022-08-07 16:50:59,180 - mmcv - INFO -
bbox_head.vfnet_reg_refine_dconv.weight - torch.Size([256, 256, 3, 3]):
The value is the same before and after calling `init_weights` of VFNet
2022-08-07 16:50:59,181 - mmcv - INFO -
bbox_head.vfnet_reg_refine.weight - torch.Size([4, 256, 3, 3]):
NormalInit: mean=0, std=0.01, bias=0
2022-08-07 16:50:59,183 - mmcv - INFO -
bbox_head.vfnet_reg_refine.bias - torch.Size([4]):
NormalInit: mean=0, std=0.01, bias=0
2022-08-07 16:50:59,185 - mmcv - INFO -
bbox_head.scales_refine.0.scale - torch.Size([]):
The value is the same before and after calling `init_weights` of VFNet
2022-08-07 16:50:59,186 - mmcv - INFO -
bbox_head.scales_refine.1.scale - torch.Size([]):
The value is the same before and after calling `init_weights` of VFNet
2022-08-07 16:50:59,188 - mmcv - INFO -
bbox_head.scales_refine.2.scale - torch.Size([]):
The value is the same before and after calling `init_weights` of VFNet
2022-08-07 16:50:59,189 - mmcv - INFO -
bbox_head.scales_refine.3.scale - torch.Size([]):
The value is the same before and after calling `init_weights` of VFNet
2022-08-07 16:50:59,191 - mmcv - INFO -
bbox_head.scales_refine.4.scale - torch.Size([]):
The value is the same before and after calling `init_weights` of VFNet
2022-08-07 16:50:59,192 - mmcv - INFO -
bbox_head.vfnet_cls_dconv.weight - torch.Size([256, 256, 3, 3]):
The value is the same before and after calling `init_weights` of VFNet
2022-08-07 16:50:59,194 - mmcv - INFO -
bbox_head.vfnet_cls.weight - torch.Size([4, 256, 3, 3]):
NormalInit: mean=0, std=0.01, bias=-4.59511985013459
2022-08-07 16:50:59,195 - mmcv - INFO -
bbox_head.vfnet_cls.bias - torch.Size([4]):
NormalInit: mean=0, std=0.01, bias=-4.59511985013459